-
to enhance sensor data accuracy and reliability in fuel tank gauging systems by developing deep learning and physics-informed deep learning models. These models will calibrate raw pressure sensor data to
-
. Applicant will work in the Centre for Autonomous and Cyber-physical Systems at Cranfield. This exciting new role is co-developed with the Defence Science and Technology Laboratory (DSTL) and dedicated
-
an Aerospace Engineering or Computer Science and knowledgeable in hardware and software for multi-sensor systems within mobile platforms or cyber-physical systems and have experience of management research using
Enter an email to receive alerts for physics "A" positions